Discrete Dynamics in Nature and Society

Multiscale Discrete Simulation of Complex Systems


Publishing date
24 Apr 2015
Status
Published
Submission deadline
05 Dec 2014

Lead Editor

1Iowa State University, Ames, USA

2University of Parma, Parma, Italy

3Zhejiang University, Hangzhou, China

4Dynaflow Inc., Jessup, USA


Multiscale Discrete Simulation of Complex Systems

Description

Complex systems exist in every aspect in nature and society, ranging from elemental particle dynamics to cosmological celestial body interactions. Computational modeling is a powerful tool to elevate our understanding of the mechanisms in complex systems. Discrete particle methods which directly simulate complex systems by real or artificial particles, such as the Direct Simulation Monte Carlo method for rarified gas flows, account for a large portion in the modeling of complex systems. The advantages of discrete particle methods over traditional continuum methods are, for example, mathematical concision, easy implementation, and high parallelization. This special issue aims to foster the development and application of discrete particle approaches in modeling of complex systems. Papers submitted to this special issue are expected to advance the state of the art of discrete simulation of complex systems.

We invite authors to submit original research and review papers on the fundamentals, development, and application of discrete particle approaches in simulation of complex systems. We are particularly interested in articles that propose or use novel discrete particle methods to unravel the mechanisms of complex systems for better understanding.

Potential topics include, but are not limited to:

  • Mathematical development, verification, and improvement of discrete particle methods for simulation of complex systems at all scales, for example, molecular dynamics (MD), lattice Boltzmann method (LBM), and smoothed particle hydrodynamics (SPH)
  • Computer realization and algorithm optimization of discrete particle methods for effective modeling of complex systems
  • Practical application of discrete particle methods to the simulation/description of complex systems
  • Combination of discrete particle and continuum methods for simulation of complex systems
  • Large-scale discrete simulation of complex systems using advanced high performance computing technologies, such as MPI, OpenMP, and GPU
  • Development of advanced numerical skills for high-resolution or large-scale simulation of complex systems, such as adaptive particle split-coalescence refinement
  • Multiscale discrete simulation of complex systems for scale coupling/bridging using hybrid discrete particle methods, such as the coupling between MD and SPH for interface capture

Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 383084
  • - Editorial

Multiscale Discrete Simulation of Complex Systems

Qingang Xiong | Jingsen Ma | ... | Giulio Lorenzini
  • Special Issue
  • - Volume 2015
  • - Article ID 580328
  • - Research Article

Research on the Development Approach for Reusable Model in Parallel Discrete Event Simulation

Jianbo Li | Yiping Yao | ... | Feng Zhu
  • Special Issue
  • - Volume 2015
  • - Article ID 938287
  • - Research Article

Stability Analysis and Design of a Nonlinear Controller for Hot Rolling Coiler

Rui Li | Chao-nan Tong | Xu Yang
  • Special Issue
  • - Volume 2015
  • - Article ID 475461
  • - Research Article

System Dynamics Simulation of Large-Scale Generation System for Designing Wind Power Policy in China

Linna Hou
  • Special Issue
  • - Volume 2015
  • - Article ID 829387
  • - Research Article

Cognitive Emotional Regulation Model in Human-Robot Interaction

Xin Liu | Lun Xie | ... | Dan Li
  • Special Issue
  • - Volume 2015
  • - Article ID 893872
  • - Research Article

Automation Countermeasure System for Intersection Optimization

Hua-pu Lu | Zhi-yuan Sun | ... | Yue Li
  • Special Issue
  • - Volume 2015
  • - Article ID 245685
  • - Research Article

Dynamic Modeling and Optimal Control for Complex Systems with Statistical Trajectory

Lingli Guo | Zhengguang Xu | Ye Wang
  • Special Issue
  • - Volume 2015
  • - Article ID 749181
  • - Research Article

Forecasting Beijing Transportation Hub Areas’s Pedestrian Flow Using Modular Neural Network

Shuwei Wang | Ronggui Zhou | Lin Zhao
  • Special Issue
  • - Volume 2015
  • - Article ID 426947
  • - Research Article

Algorithms for Routing Optimization in Multipoint to Multipoint 4PL System

Jia Li | Yanqiu Liu | ... | Shida Xu
Discrete Dynamics in Nature and Society
 Journal metrics
Acceptance rate21%
Submission to final decision61 days
Acceptance to publication87 days
CiteScore0.990
Impact Factor0.973
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